R: Design Matrix for Measurement Error Model

me {MCMCglmm} | R Documentation

## Design Matrix for Measurement Error Model

### Description

Sets up design matrix for measurement error models.

### Usage

    me(formula, error=NULL, group=NULL, type="classical")

### Arguments

`formula` | `formula` for the fixed effects.
`error` | character; name of column in `data.frame` in which standard error (`type="classical"` or `type="berkson"`) or miscalssification error (`type="dclassical"`) is stored.
`group` | name of column in `data.frame` in which groups are stored. Rows of the design matrix with the same `group` level are assumed to pertain to the same obsevation of the covariate that is measured with error.
`type` | character; one of `type="classical"`, `type="berkson"`, `type="dclassical"` or `type="dberkson"` (see details)

### Value

design matrix, with a prior distribution attribute

### Author(s)

Jarrod Hadfield j.hadfield@ed.ac.uk

[Package MCMCglmm version 2.30 Index]